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  1. 5781

    Reflective Processes and Social Orientation at Different Stages of Professionalisation (on the Example of Preparation for Medical Activity) by G. V. Manuilov, G. G. Gorelova, E. A. Rylskaya, S. V. Morozova, N. N. Vasyagina

    Published 2020-05-01
    “…In such fields of employment, the personal qualities of a specialist are extremely important, i. e. his or her ability to communication, productive interaction, which implies a certain type of reflection.The aim of the present research was to identify the role of reflection, when forming the social orientation of physicians at different stages of their specialty training and realisation of oneself in this or that specialty – from university education to the end of career.Methodology and research methods. In the course of the research, psychodiagnostic methods based on the questionnaire “Differential Type of Reflection” by D. …”
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  2. 5782

    RNA sequencing and immunohistochemistry jointly improve tumor biomarker interpretation by Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U. Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K. Lennerz, Funda Meric-Bernstam, Alexander Bagaev

    Published 2025-08-01
    “…Correlations between RNA-seq data and IHC scores were determined using Spearman’s correlation coefficients, with RNA-seq cut-offs established to distinguish positive from negative IHC scores. …”
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  3. 5783

    Behavioral Assessment of Unilateral Spatial Neglect with the Catherine Bergego Scale (CBS) Using the Kessler Foundation Neglect Assessment Process (KF-NAP) in Patients with Subacut... by Daisuke Nishida, Katsuhiro Mizuno, Masatoshi Tahara, Shiori Shindo, Yuki Watanabe, Hiroki Ebata, Tetsuya Tsuji

    Published 2021-01-01
    “…The Kessler Foundation Neglect Assessment Process (KF-NAP) is an assessment tool for unilateral spatial neglect (USN), which is the scoring method for the Catherine Bergego Scale (CBS) based on detailed instructions. …”
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    Article
  4. 5784

    A lightweight hybrid model for accurate ammonia prediction in pig houses by Jacqueline Musabimana, Qiuju Xie, Hong Zhou, Ping Zheng, Honggui Liu, Tiemin Ma, Jiming Liu

    Published 2025-12-01
    “…It also outperforms the standard transformer in accuracy and efficiency, with Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and coefficient of determination R² of 0.3994, 0.0225, and 0.9260, respectively, compared to 0.4250, 0.0227, and 0.9162 for the standard model, reducing RMSE by 5.99 %, MAPE by 0.88 %, and increasing R² by 1.08 %. …”
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  5. 5785

    Water utilization strategy of tomato grown on east-west orientation in solar greenhouses revealed based on hydroxide isotopes by Furong Han, Lili Zhangzhong, Wengang Zheng, Jingjing Li, Kaili Shi, Yibo Wei

    Published 2025-03-01
    “…Path analysis revealed PAR as a critical determinant of ETc, with direct path coefficients of 0.866 and 0.567. …”
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  6. 5786

    On the formation of thermal barrier coatings by magnetron sputtering by Gennady V. Kachalin, Konstantin S. Medvedev, Aleksey F. Mednikov, Olga S. Zilova, Aleksandr B. Tkhabisimov, Dmitriy I. Ilyukhin, Vladislav A. Kasyanenko

    Published 2024-12-01
    “…This paper gives a comparison of the results of mass-spectrometric studies of the hysteresis of the oxygen partial pressure inherent in the technology for producing oxide films; the influence of the target type on the coating growth rate; studies of the structure of thermal barrier coatings using the scanning electron microscopy method; and the elemental composition of coatings based on zirconium dioxide partially stabilised with yttrium oxide – YSZ. …”
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  7. 5787

    LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion by Jingyuan He, Weifeng Li, Shijia Pan, Nikolaos Sygrimis, Zijie Niu, Dongyan Zhang, Dong Han, Petro A. Roussos

    Published 2025-08-01
    “…In the SMC prediction for the next day, the ATT-LSTM model performs the best, with a coefficient of determination (R²) of 0.749 and a root mean square error (RMSE) of only 2.04 % on the test set. …”
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  8. 5788

    Modelo matemático y procedimiento para la generación gráfica de los contornos de dientes de engranajes cilíndricos. // A mathematical model and procedure for graphic generation of... by G. González Rey, R. José García Martín, P. Frechilla Fernández

    Published 2006-01-01
    “…Additionally,<br />the results are useful for the improvement of the gear tooth model and formulations for the load capacity calculation of cylindrical<br />gears by means of the method of finite elements. For the determination of the calculation procedures based on the mathematical<br />models was established using the technique of dichromatic graphs.…”
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  9. 5789

    Investigação teórica do processo de redução de coliformes em leitos cultivados Theoretical investigation of coliform reduction in constructed wetland by Mariângela Amendola, Anderson L. Souza

    Published 2007-12-01
    “…The results obtained with the simulation were compared with the reference values to determine the longitudinal dispersion coefficient value which leads to the least residual value for each kind of support bed. …”
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  10. 5790
  11. 5791

    Exploring the Causes of Severe Fluctuations in Water Surface Area Using Water Index and Structural Equation Modeling: Evidence from Ebinur Lake, China by Mengfan Li, Changjiang Liu, Fei Zhang, Ngai Weng Chan, Elhadi Adam, Weiwei Wang, Yingxiu Wu

    Published 2025-04-01
    “…Utilizing Google Earth Engine (GEE), this study employs Landsat series, Sentinel 2, and MOD09GA/MYD09GA data to extract the water area of Ebinur Lake by applying indices such as NDWI, MNDWI, AWEI, and MAWEI. Threshold determination and shoreline refinement are achieved through Otsu’s method and the Canny algorithm, followed by a comparative analysis. …”
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  12. 5792

    Glomerular diseases related to HIV in Colombian population: Better outcomes with highly active antiretroviral therapy? by Oscar Muñoz-Velandia, Ángel García-Peña, Javier Garzón-Herazo, Kateir Contreras-Villamizar, Martha Rodríguez-Sánchez, Elias Garcia-Consuegra, Esteban Toro-Trujillo

    Published 2020-09-01
    “…A longitudinal data model under the Generalized Estimating Equations (GEE) method was used to determine changes on the glomerular filtration rate (GFR) over time. …”
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  13. 5793

    Análise espacial da umidade do solo cultivado com soja sob dois sistemas de manejo Spatial analysis of soil moisture with soybean under two management systems by Syonei V. Zanette, Silvio C. Sampaio, Marciane G. Silvestre, Márcio A. V. Boas, Miguel A. Uribe-Opazo, Manoel M. F. de Queiroz

    Published 2007-06-01
    “…The data were used for analysis of moisture using the conventional gravimetric method. The data were analyzed through the classic statistics and geostatistics. …”
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  14. 5794

    Análise da precipitação mensal provável para o município de Lages, SC Analysis of probable monthly rainfall in the municipality of Lages, SC by Olívio J. Soccol, Célio O. Cardoso, David J. Miquelluti

    Published 2010-01-01
    “…The method of adjustment of model was used to estimate &#945; and &#946; parameters of gamma distribution, and Kolmogorov-Smirnov's test assessed the model's fitting to the data. …”
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  15. 5795

    Remote Sensing Survey of Chlorophyll-a Concentration in River-Type Reservoirs Based on GF-1 Image Data: Taking Feilaixia–Changhu Reservoir Area as an Example by ZOU Zhengxin, DENG Ruru, LIANG Yeheng, CHAI Zhuoqun, KUANG Zhiyuan, YANG Junying, ZHAO Zixi

    Published 2025-01-01
    “…The correlation analysis of the chlorophyll-a remote sensing inversion value and the measured value was performed, and the determination coefficient was R<sup>2 </sup>= 0.835 8; the result verification was reasonable. …”
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  16. 5796

    Alpine Meadow Fractional Vegetation Cover Estimation Using UAV-Aided Sentinel-2 Imagery by Kai Du, Yi Shao, Naixin Yao, Hongyan Yu, Shaozhong Ma, Xufeng Mao, Litao Wang, Jianjun Wang

    Published 2025-07-01
    “…The DNN-based FVC estimation performed best, with a coefficient of determination of 0.82 and a root mean square error (RMSE) of 0.09. (2) In vegetation coverage estimation based on the pixel dichotomy model, different vegetation indices demonstrated varying performances across areas with different FVC levels. …”
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  17. 5797

    Green Hydrogen Synthesis from Human Urine as Sustainable Bioenergy Resources by Blossom Odili, Sylvia Igbafe, Adeyinka Sikiru Yusuff, Akeem Aderibigbe Adebomehin, Anselm Iuebego Igbafe

    Published 2024-10-01
    “…/wt. electrolyte concentration across the system’s operating temperature range yielding an R2 value of 0.711, all the models yielded coefficient of determination values in the range of 0.96 and 0.99, indicating good fit for the alkaline urine electrolysis for green hydrogen synthesis from human urine. …”
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  18. 5798

    Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan by Ziaul Haq Haq Doost, Ali Alsuwaiyan, Abdulazeez Abdulraheem, Nabil M. Al-Areeq, Zaher Mundher Yaseen

    Published 2025-01-01
    “…The models were evaluated at three stations (Nazdik-i Herat, Shinya, and Torghundi) using coefficient of determination (R2), mean squared error (MSE), root mean squared error (RMSE), Mean absolute error (MAE), and median absolute error (MedAE) as evaluation metrics. …”
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  19. 5799

    Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

    Published 2021-01-01
    “…The performance of the model statistical test shows the coefficient of determination (R2) and Nash–Sutcliffe (NS) efficiency values 0.87 and 0.81 for calibration periods of 1990–2002 and 0.84 and 0.76 for the validation period of 2003 to 2009, respectively. …”
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  20. 5800

    Breath Detection from a Microphone Using Machine Learning by Tomasz Sankowski, Piotr Sulewski, Jan Walczak, Aleksandra Bruska

    Published 2025-01-01
    “…Mel-Frequency Cepstral Coefficients (MFCC) for Feature Extraction and Neural Network Classification: This method employs MFCCs as set of sound features for classification using a neural network. …”
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